ClinicalTrials.gov
public full text
Public Domain
Role of Cancer-associated Fibroblast, MDSCs and Immune Cell Interplays in the Resistance of Non-small Cell Lung Cancer to Anti-PD1/PD-L1 Therapies
Immunotherapy have revolutionized the field of oncology, but response rates are low and all patients relapse, due to cellular and soluble immunosuppressive mechanisms. These immunosuppressive mechanisms will be better characterized and their involvement in therapeutic responses in non-small cell lung cancers (NSCLC). Indeed, large transcriptomic analysis of different subsets of immunosuppressive cells will performed, correlating them to clinical outcome in a cohort of stage III disease, treated by radiochemotherapy and immunotherapy as maintenance, and stage IV treated by immunotherapy as first-line treatment. Furthermore, we will analyse cellular mechanisms by in vitro studies, assessing the effect of immunosuppressive cells, provided by fresh tumor samples, on phenotype and functions of lung cancer cell lines. The aim of this study is to better characterize immunosuppressive landscape of NSCLC and mechanisms involved in their protumor functions.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Immune Checkpoint Inhibitors in Advanced Non-small Cell Lung Cancer and Discovery of New Biomarkers#1046162
- Prospective Study to Evaluate the Blood Kinetics of Immune Cells and Immunosuppressive Cytokines After Exposure to an Immunity Checkpoint Inhibitor (ICI): Study of the Impact of Chemotherapy#900704
- Immune Response to Immunotherapy in Lung Cancer: Study of Sputum and Blood Samples#812848
- Clinical Significance of Hepatic Biomarkers in Lung Cancer Patients Treated With Immune Checkpoint Inhibitors#873179
- Tumor Growth Rate (TGR) Predicts Clinical Outcomes for Advanced Non-small Cell Lung Cancer Undergoing Immunotherapy.#256868
Record · ID 840246
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive